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Study on Generalized Predictive Control for Non-single-rate Sampled-data Systems

Author: PengAnMin
Tutor: FengJun
School: Jiangnan University
Course: Control Theory and Control Engineering
Keywords: Non - single- rate system Technological upgrading Generalized Predictive Control (GPC) Causal constraints
CLC: TP13
Type: Master's thesis
Year: 2006
Downloads: 76
Quote: 3
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Abstract


In practical applications , there is often non - single sampled-data systems , that is, non - single- rate system , the study of non- single- rate system and control method is practical and theoretical needs . Papers to non- single- rate system for the study of some exploratory work in the theory of non - single - rate system to enhance modeling and GPC algorithm is mainly achieved the following results : first , to clarify the technological upgrading species mapping transformation , a time-varying operator after enhance the technical processing can be found which is equivalent to the time-invariant operator . Summarizes the development history, current situation and characteristics of generalized predictive control . Derived proved SISO non-uniform sampling system to enhance the state space model , and gives a sufficient condition of controllability and observability promotion model maintains . Based on this model deduced position type GPC control law . Third, directly from the input-output model of controlled object to enhance the non-uniform sampling system by SISO recursive output forecast expression starting a novel GPC algorithm not only explicitly dealt with the issue of causal constraints , and because avoid solving Diophantine equations , the online computation ; GPC form of the controller is simple and very similar to traditional PID controller easier for people to accept and promote it . Fourth, the detailed definition of the control refresh and output sampling scheme for MIMO multi- rate system , and based on this established model enhance promotion model based on this original chronological output sampling value of the combination of the last known GPC control algorithm in turn to build a number of new models , chronologically application of traditional the GPC design methods and steps for each new model , satisfying the law of causality . The theoretical analysis and simulation confirmed the effectiveness of the method proposed by the papers .

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